Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts

•This paper presents a novel geodesic density registration (GDR) algorithm to remove motion artifacts in 4DCT pulmonary imaging that occur during breathing.•The GDR algorithm uses binary artifact masks to exclude artifact regions from the regression and accommodates image intensity change associated...

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Veröffentlicht in:	Medical image analysis 2021-08, Vol.72, p.102140-102140, Article 102140
Hauptverfasser:	Shao, Wei, Pan, Yue, Durumeric, Oguz C., Reinhardt, Joseph M., Bayouth, John E., Rusu, Mirabela, Christensen, Gary E.
Format:	Artikel
Sprache:	eng
Schlagworte:	4DCT Algorithms Artifact correction Breathing Computed tomography Coordinates Density Fields (mathematics) Four-Dimensional Computed Tomography Geodesic regression Humans Image registration Lung - diagnostic imaging Lung cancer Lung Neoplasms - diagnostic imaging Lungs Medical imaging Motion Motion artifact Regression Respiration Signal to noise ratio
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